UAV swarm behavior modeling for early exposure of failure modes
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Authors
Revill, Michael B.
Subjects
swarm
search and rescue
behavior modeling
UAV
Monterey Phoenix
failure modes
failsafe behaviors
search and rescue
behavior modeling
UAV
Monterey Phoenix
failure modes
failsafe behaviors
Advisors
Giammarco, Kristin
Auguston, Mikhail
Date of Issue
2016-09
Date
Sep-16
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
Over the past decade, the Department of Defense has placed a great amount of attention on the advancements of unmanned aerial vehicles (UAVs), and more specifically on employing a large number of autonomous UAVs into swarms. These swarms form an organized cluster of vehicles to act out multifaceted operations as a group. Despite the benefits offered by UAV swarms, there are hurdles that engineering teams must grapple with while designing a UAV swarm system. One key area is creating and understanding the swarming behavior and revealing all potential failure scenarios that may impact the desired mission. This research uses Monterey Phoenix (MP) to model system behaviors by grouping them into distinct, reusable agent-like models of possible actor behaviors and modeling actor interactions as separate constraints. This approach affords the ability to compute every possible variation of actor behaviors with every other possible actor behavior from these models, which generates an exhaustive set of possible scenarios or event traces. Through manual inspection or semi-automated assertion checking of these event traces, the discovery of unwanted and undesirable behaviors and failure modes is achievable, which allows mission planners to then counteract these unsolicited instances with necessary failsafe behaviors.
Type
Thesis
Description
Series/Report No
Department
Systems Engineering (SE)
Organization
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NPS Report Number
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Funder
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Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.